Method for setting threshold value of sensor

ABSTRACT

A method for setting a threshold value of a sensor is provided. Provided is a method in which a sensor system, including at least one processor and at least one port for transferring a signal to the at least one processor, sets the threshold value of a sensor, the method comprising: an initial reception step in which the at least one processor receives an input value of the sensor, connected to the port, through the port during a first time; an identification step in which the at least one processor identifies the type of sensor on the basis of to which section the input value received in the initial reception step corresponds from among a plurality of predetermined sections; a first type threshold value setting step in which, when the sensor is identified as a first type in the identification step, the at least one processor sets a predetermined threshold value as the threshold value of the port according to the type of the sensor; and a second type threshold value setting step in which, when the sensor is identified as a second type in the identification step, the at least one processor receives an input value of the sensor, connected to the port, through the port during a second time, so as to calculate an average input value during the second time, and sets the threshold value of the port on the basis of the average input value.

TECHNICAL FIELD

The present disclosure relates to a method for setting a threshold valueof a sensor, and more particularly, a method of identifying a type of asensor among various types of sensors that sense temperature, humidity,etc. based on an input value provided by the sensor, and setting athreshold value of the sensor according to the type of the sensor.

BACKGROUND ART

In general, many sensors are used to measure various environmentalchanges, for example, detecting a malfunction at an industrial site ormonitoring a fire. Since there are so many types of sensors and manycommercial products are on the market, it is possible to detectmalfunctions or fires from a comprehensive perspective by integratingthe sensors. However, an interface capable of accommodating varioustypes of sensors is required to perform integrated control of thesevarious sensors.

In addition, since it is important to determine whether or not a setthreshold value is exceeded in order to detect an abnormality such as amalfunction or fire, there is a problem in that different thresholdvalues must be assigned to the respective sensors.

In addition, since the sensors are installed in various environments,the normal temperature, humidity, etc. may vary depending on aninstallation location, so there is a problem that it is necessary to seta threshold suitable for an environment in which a sensor is installed.

Therefore, a method for accommodating various types of sensors in ageneral industrial field and setting appropriate threshold valuesaccording to the types of sensors.

Related Document

-   Korean Patent Application Publication No. 2020-0072728 (Publication    Date: Jun. 23, 2020, Title of Invention: FIRE DETECTION SENSOR    DEVICE AND SYSTEM)

DISCLOSURE Technical Problem

An objective of the present disclosure is to provide a method foraccommodating various types of sensors and setting the types of sensorsand threshold values based on output values of the sensors.

Technical Solution

A method for setting a threshold value of a sensor of the presentdisclosure for solving the aforementioned problem is a method forsetting a threshold value of a sensor in a sensor system having at leastone processor and at least one port for transmitting a signal to the atleast one processor, the method including: an initial reception step inwhich the at least one processor receives an input value of a sensor,connected to the port, through the port during a first period of time;an identification step in which the at least one processor identifies atype of the sensor based on to which section the input value received inthe initial reception step corresponds among a plurality ofpredetermined sections; a first classification threshold setting step inwhich, in response to the sensor being identified as a firstclassification in the identification step, setting, the at least oneprocessor sets a predetermined threshold value as a threshold value ofthe port according to the type of the sensor; and a secondclassification threshold value setting step in which, in response to thesensor being identified as a second classification in the identificationstep, receiving, the at least one processor calculates an input value ofthe sensor, connected to the port, through the port during a secondperiod of time to calculate an average input value during the secondperiod of time and sets a threshold value of the port based on theaverage input value.

The method for setting a threshold value of a sensor according to anembodiment of the present disclosure may be a method for setting athreshold value of a sensor, the method in which the initial receptionstep further includes removing noise from the input value of the sensor.

The method for setting a threshold value of a sensor according to anembodiment of the present disclosure may be a method for setting athreshold value of a sensor, the method in which the second period oftime is longer than the first period of time.

The method for setting a threshold value of a sensor according to anembodiment of the present disclosure may be a method for setting athreshold value of a sensor, the method in which the firstclassification is a classification for sensing temperature or humidityand the second classification is a classification for sensing infraredrays or carbon dioxide concentration.

The method for setting a threshold value of a sensor according to anembodiment of the present disclosure may be a method for setting athreshold value of a sensor, the method in which the sensor system is afire detection system.

The method for setting a threshold value of a sensor according to anembodiment of the present disclosure may be a method for setting athreshold value of a sensor, the method in which the sensor systemfurther includes a memory, the memory stores the threshold valueaccording to a type of the sensor of the first classification, and thefirst classification threshold value includes loading the threshold fromthe memory by the at least one processor.

The method for setting a threshold value of a sensor according to anembodiment of the present disclosure may be a method for setting athreshold value of a sensor, the method in which the sensor systemfurther includes a memory, the memory stores the multiple valueaccording to a type of the sensor of the second classification, and thesecond classification threshold setting step includes loading themultiple value from the memory by the at least one processor.

The method for setting a threshold value of a sensor according to anembodiment of the present disclosure may be a method for setting athreshold value of a sensor, the method in which the firstclassification threshold value setting step further includes setting arange of input values for each type of the sensor and identifying a typeof the sensor according to an input value received during the firstperiod of time.

The method for setting a threshold value of a sensor according to anembodiment of the present disclosure may be a method for setting athreshold value of a sensor, the method in which the secondclassification threshold value setting step further includes setting arange of input values for each type of the sensor and identifying thetype of the sensor according to an input value received during the firstperiod of time.

The method for setting a threshold value of a sensor according to anembodiment of the present disclosure may be a method for setting athreshold value of a sensor, the method in which, in the secondclassification threshold setting step, the at least one processor sets,as the threshold value of the port, a product obtained by multiplyingthe average input value by a predetermined multiple value according tothe type of the sensor.

In addition, a sensor system of the present disclosure for solving theaforementioned problem is a sensor system including: a memory; at leastone processor configured to execute instructions stored in the memory;and at least one port configured to transmit a signal to the at leastone processor, and the processor is further configured to: receive aninput value of a sensor, connected to the port, through the port duringa first period of time, and identify a classification for the sensorbased on to which section the input value received in the initialreception step corresponds from among a plurality of predeterminedsections, and, in response to the sensor being identified as a firstclassification in the identification step, the at least one processorsets a predetermined threshold value according to the type of the sensoras a threshold value of the port, and in response to the sensor beingidentified as the second classification in the identifying step, the atleast one processor receives an input value of a sensor, connected tothe port, through the port during a second period of time, andcalculates an average input value during the second period of time.

Advantageous Effects

According to an embodiment of the present disclosure, it is possible toaccommodate various types of sensors, and to identify an arbitrarysensor and set a threshold value of the arbitrary sensor according to atype of the arbitrary sensor.

DESCRIPTION OF DRAWINGS

FIG. 1 is a configuration diagram of a sensor system according to anembodiment of the present disclosure.

FIG. 2 is a flowchart of a method for setting a threshold value of asensor according to an embodiment of the present disclosure.

FIG. 3 is a diagram illustrating an example in which a processor sets arange for an input value to distinguish a classification and type of asensor according to an embodiment of the present disclosure.

FIG. 4 is a diagram illustrating that a processor according to anembodiment of the present disclosure calculates an average input valueduring a second period of time.

FIG. 5 is a diagram illustrating an example in which a processorreceives an input value exceeding a threshold value after a lapse of afirst period of time and a second period of time according to anembodiment of the present disclosure;

MODE FOR DISCLOSURE

Hereinafter, embodiments of the present disclosure will be described indetail with reference to the accompanying drawings. In describing thepresent disclosure, if it is determined that a detailed description ofknown functions and components associated with the present disclosureunnecessarily obscure the gist of the present disclosure, the detaileddescription thereof will be omitted. In addition, the terms used in thisspecification are used to appropriately express the embodiments of thepresent disclosure and may be altered according to a person of a relatedfield or conventional practice. Therefore, the terms should be definedon the basis of the entire content of this specification.

The technical terms used herein are only for describing a specialexemplary embodiment, but it is considered that the present disclosureis not limited thereto. As used herein, the singular forms includeplural forms as long as the phrases do not clearly have a contrarysense. The meaning of “including” used in the specification specifies aspecific characteristic, area, integer, step, action, element, and/orcomponent, but it is not considered to eliminate the existence oraddition of other characteristics, areas, integers, steps, actions,elements, and/or components.

In this specification, there is no limitation in the communicationmethod of the network, and a connection between each element may not bemade by the same network method. The network may include a communicationmethod using a communication network (for example, a mobilecommunication network, a wired Internet, a wireless Internet, abroadcast network, a satellite network, etc.) as well as near-fieldwireless communication between devices. For example, the network mayinclude all communication methods that enable networking betweenobjects, and is not limited to wired communication, wirelesscommunication, 3G, 4G, 5G, or other methods. For example, the wiredand/or wireless network may refer to a communication network by at leastone communication method selected from the group consisting of LocalArea Network (LAN), Metropolitan Area Network (MAN), Global System forMobile Network (GSM), Enhanced Data GSM Environment (EDGE), High SpeedDownlink Packet Access (HSDPA), Wideband Code Division Multiple Access(W-CDMA), Code Division Multiple Access (CDMA), Time Division MultipleAccess (TDMA), Bluetooth, Zigbee, Wi-Fi, Voice over Internet Protocol(VoIP), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPPLong Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerlyEV-DO Rev. C), Flash-OFDM, iBurst and MBWA (IEEE 802.20) systems,HIPERMAN, Beam-Division Multiple Access (BDMA), World Interoperabilityfor Microwave Access (Wi-MAX) or communication using ultrasonic waves,but is not limited thereto.

Hereinafter, a method for setting a threshold value of a sensor 50according to an embodiment of the present disclosure will be describedwith reference to FIGS. 1 to 5 .

The present disclosure relates to a method and system for setting athreshold value of a sensor 50 with respect to various types of thesensors 50.

The method for setting a threshold value of the sensor 50 with respectto various types of the sensors 50 of the present disclosure isperformed by the sensor system 1.

FIG. 1 is a configuration diagram of the sensor system 1 according to anembodiment of the present disclosure.

Referring to FIG. 1 , the sensor system 1 includes a memory 20, aprocessor 10, a communication part 30, at least one port 40, a base part60, and at least one sensor 50. The sensor system 1 may communicate witha control terminal 70 via a network.

The function of each component will be described below.

The memory 20 store instructions executed by the processor 10, and inparticular, may store a threshold value or multiple value applicableaccording to a type of the sensor 50. The processor 10 executes theinstructions stored in the memory 20, identifies the type of the sensor50 based on an input value of the sensor 50, which is received throughthe port 40, and sets a threshold value for each sensor 50. The port 40receives the input value from the sensor 50 and transmits a signal tothe processor 10. The sensor 50 may quantify and detect an externalenvironmental factor. That is, temperature, humidity, infrared rays,carbon dioxide concentration, etc. may be sensed and digitized, andtransmitted to the port 40.

A more specific function of each component will be hereinafter describedin detail while explaining how to set a threshold value of the sensor50.

The control terminal 70 described in this specification may include amobile phone, a smart phone, a laptop computer, a digital broadcastingterminal, a personal digital assistant (PDA), a portable multimediaplayer (PMP), a navigation device, a slate PC, a tablet PC (tablet PC),an ultrabook (ultrabook), a wearable device (for example, a watch-typeterminal (smartwatch), a glass-type terminal (smart glass), a headmounted display (HMD), etc.), and the like.

The control terminal 70 may include a communication module, and transmitand receive a radio signal with at least one of a base station, anexternal terminal, and a server on a mobile communication networkestablished according to technical standards or communication methodsfor mobile communication (e.g., Global System for Mobile communication(GSM), Code Division Multi Access (CDMA), Code Division Multi Access2000 (CDMA2000), Enhanced Voice-Data Optimized or Enhanced Voice-DataOnly (EV-DO), Wideband CDMA (WCDMA), High Speed Downlink Packet Access(HSDPA), High Speed Uplink Packet Access (HSUPA), Long Term Evolution(LTE), Long Term Evolution-Advanced (LTE-A), etc.)

Hereinafter, each step of a method for setting a threshold value of thesensor 50 according to an embodiment of the present disclosure will bedescribed.

The sensor 50 described in this specification may detect temperature,humidity, infrared rays, carbon dioxide concentration, etc., and may be,but not limited thereto, any sensor capable of detecting an externalenvironment. However, in the following description, for convenience ofexplanation, it is assumed that the sensor 50 detects temperature,humidity, infrared rays, and carbon dioxide concentration.

FIG. 2 is a flowchart of a method for setting a threshold value of thesensor 50 according to an embodiment of the present disclosure.

Referring to FIG. 2 , the method includes: an initial reception step inwhich at least one processor 10 receives an input value of the sensor50, connected to the port 40, through the port 40 during a first periodof time; an identification step in which at least one processor 10identifies a classification for the sensor 50 based on to which sectionan input value received in the initial reception step corresponds fromamong a plurality of predetermined sections; a first classificationthreshold setting step in which, in response to the sensor 50 beingidentified as a first classification in the identification step, atleast one processor 10 sets a predetermined threshold according to atype of the sensor 50 as a threshold of the port 40; and a secondclassification threshold value setting step in which, in response to thesensor 50 being identified as a second classification in theidentification step, at least one processor 10 receives an input valueof the sensor 50, connected to the port 40, through the port 40 during asecond period of time to calculate an average input value during thesecond period of time and sets a product obtained by multiplying anaverage input value by a predetermined multiple value according to thetype of sensor 50 as a threshold value of the port 40.

Each of the steps described above may be performed irrespective of thelisted order, except when performed in the listed order due to a specialcausal relationship. However, in the following description, it isassumed that the above-described steps are performed in the listed orderfor convenience of explanation.

First, with reference to FIG. 2 , the initial reception step in whichthe processor 10 receives an input value of the sensor 50, connected tothe port 40, through the port 40 during the first period of time will bedescribed. As described above, the sensor 50 is connected to the port 40and transmits a value obtained by measuring a sensing target such astemperature and humidity to the port 40 as an input value. The port 40receives an input value and transmits the input value to the processor10. Here, the input value may vary depending on the type of the sensor50, and may be of an analog method or digital method. For example, inthe case of the analog method, the input value of the specific sensor 50may be input within a range of 0V to 5.0V. The input value may be avalue measured by the sensor 50, or may be a value measured by thesensor 50 and then converted at a predetermined ratio.

The processor 10 receives an input value during the first period oftime. Here, a time at which the first period of time starts may beregarded as a time when the sensor 50 is connected to the port 40 or atime when power is applied to the sensor system 1. That is, when a userconnects the sensor 50 to the port 40, the processor 10 receives aninput value from the port 40 during the first period of time thereafter.The first period of time is a period of time for receiving an inputvalue to be used as basic data for identifying the classification forthe sensor 50 in the subsequent identification step.

Having received the input value from the port 40, the processor 10 mayremove unnecessary noise from the corresponding input value. Noise thatcan affect the input value may be added by a wire connecting between theport 40 and the processor 10 or between the port 40 and the processor10. For example, an input value of a specific sensor 50 may be input inthe range of 0V to 5.0V, but if an input value exceeding the range of 0Vto 5.0V is received at a predetermined time, the input value isconsidered to have noise added. Therefore, the processor 10 removes thenoise from the input value so that subsequent steps can proceednormally.

Next, referring to FIG. 3 , the identification step in which theprocessor 10 identifies the classification for the sensor 50 based on towhich section the input value received in the initial reception stepcorresponds from among a plurality of predetermined sections will bedescribed. As shown in FIG. 3 , the processor 10 may divide anddistinguish an available range of input values into predeterminedsections. Based on the distinguished section, it is possible to identifythe classification and type of the sensor 50 according to the inputvalue. For example, when an input value belonging to section B isreceived during the first period of time, the processor 10 may identifythat the corresponding port 40 is connected to the sensor 50 of a secondclassification.

In this specification, a classification for sensor refers to a set ofsensors for which a threshold value is set in a specific predeterminedmethod. Specifically, a threshold value of a first classification sensoris set by a predetermined method in the first classification thresholdsetting step which will be described below. In addition, a thresholdvalue of a second classification sensor is set by a predetermined methodin the first classification threshold value which will be describedbelow.

In addition, a type of sensor is specifically distinguished according toa target to be measured by the corresponding sensor. Specifically, if asensor measures temperature, the type of the sensor is defined as atemperature type, and if another sensor measures infrared rays, the typeof the sensor is defined as an infrared type.

Next, described is the first classification threshold value setting stepin which in response to the sensor 50 being identified as the firstclassification in the above identification step, the processor 10 sets apredetermined threshold value according to the type of the sensor 50 asa threshold value of the port 40. Here, the first classification may bea classification for sensing temperature or humidity. As for a sensingtarget such as temperature or humidity, a threshold value may be setbased on an input value received during a first period of time when thesensor system 1 is installed, regardlessly of a correspondinginstallation environment. At this point, the memory 20 stores thethreshold value according to the first classification in advance, andthe processor 10 may load the corresponding threshold value from thememory 20 to set a threshold value of the corresponding port 40.

In the first classification threshold value setting step, a range ofinput values may be set for each type of the sensor 50 and a type of thesensor 50 may be identified according to an input value received duringthe first period of time. For example, if the input value received bythe sensor 50 is in a range of 0V to 5.0V, a range of 0V to 0.8V may beset as section A, a range of 0.8V to 1.6V may be set as section B, and arange of 1.6V to 2.4V may be set as section C, and a range of 2.4V-3.2Vmay be set as section D. Referring to FIG. 3 , when an input valuecorresponding to section C is received during the first period of time,the processor 10 may identify that the sensor 50 is of the firstclassification and corresponds to type C, and accordingly, the memory 20may load a threshold value corresponding to type C. If type C refers toa temperature sensor 50, the threshold value may be a predeterminedvoltage level corresponding to 50 degrees Celsius.

The first classification threshold value stored in the memory 20 may bechanged by a user through the control terminal 70. Since the user needsto change the threshold value for the first classification as needed,the threshold value for the first classification stored in the memory 20may be changed through the communication part 30 connected to thecontrol terminal 70.

Next, described is the second classification threshold value settingstep in which, in response to the sensor 50 being identified as thesecond classification in the identification step, the processor 10receives an input value of the sensor 50, connected to the port 40,during a second period of time to calculate an average input valueduring the second period of time and sets a product obtained bymultiplying the average input value by a predetermined multiple valueaccording to the type of sensor 50 as a threshold value of the port 40.

Here, the first classification may be a classification for sensinginfrared rays or carbon dioxide concentration. When the sensor system 1is installed, a sensing target such as infrared rays or carbon dioxideconcentration may have a different threshold set according to theinstallation environment. This is because the environment in which thesensor system 1 of the present disclosure is installed may be anenvironment in which infrared rays are detected frequently or highlyeven in a normal state or an environment in which a high concentrationof carbon dioxide is sensed. If the sensor system 1 is installed in anenvironment such as a factory where a lot of carbon dioxide isgenerated, it is necessary to set a different threshold from anenvironment where carbon dioxide is not generated. To this end, theprocessor 10 receives an input value of the sensor 50, connected to theport 40, through the port 40 during the second period of time tocalculate an average input value. The average input value calculated bythe processor 10 is used as the standard for an input value received bythe sensor 50 in an environment in which the sensor system 1 isinstalled.

As shown in FIG. 4 , the second period of time may be set longer thanthe first period of time. While the first period of time is a period oftime for the processor 10 to determine only which section the inputvalue belongs to, the second period of time is a period of time for theprocessor 10 to calculate the average input value and thus longer thanthe first period of time. That is, when the sensor 50 is coupled to theport 40, it is possible to determine within a short time whether thesensor 50 is of the first classification or the second classification,but a sufficient period of time is required to calculate the averageinput value according to an environment in which the sensor system 1 isinstalled.

For a sensor of the second classification, a threshold value of a portmay be generated based on an average input value. Specifically, thethreshold value may be generated according to a predetermined thresholdvalue calculating method using the average input value as an inputvariable. For example, the threshold value calculating method may be amethod of multiplying an average input value by a predetermined multiplevalue.

As described above, after the average input value is calculated, thethreshold value of the corresponding port 40 may be set by multiplyingthe average input value by a predetermined multiple value according to atype of the sensor 50. At this point, the memory 20 may store themultiple value for the type of the second classification in advance, andthe processor 10 may load the corresponding multiple value from thememory 20 and multiply the average input value by the multiple value toset a threshold value of the corresponding port 40.

In the second classification threshold setting step, a range of inputvalues may be set for each type of the sensor 50 and the type of sensor50 may be identified according to an input value received during thefirst period of time. For example, if the input value received by thesensor 50 is in the range of 0V to 5V, the range of 0V to 0.8V may beset as section A, the range of 0.8V to 1.6V may be set as section B, therange of 1.6V to 2.4V may be set as section C, and the range of2.4V-3.2V may be set as D section.

For example, as shown in FIGS. 3 and 4 , when an input valuecorresponding to section B is received during the first period of time,the processor 10 may identify that the sensor 50 is of the secondclassification and corresponds to type B. Thereafter, the processor 10may load a multiple value corresponding to type B from the memory 20.

The multiple value for the second classification, which is stored in thememory 20, may be changed by a user through the control terminal 70.Since the user needs to change the multiplier value of the secondclassification as needed, the multiplier value of the secondclassification stored in the memory 20 may be changed through thecommunication part 30 connected to the control terminal 70.

As shown in FIG. 5 , after a threshold value for each sensor 50 is set,an anomaly monitoring step starts. That is, after a lapse of the firstperiod of time and the second period of time, the sensor system 1 maynormally sense a sensing target of the external environment. Whenreceiving an input value exceeding the aforementioned threshold value,the processor 10 may determine that the external environment isdangerous. FIG. 5 shows a case where the processor 10 receives an inputvalue exceeding a threshold value twice. As such, when an input valueexceeding the threshold value is received, the processor 10 may transmita danger signal corresponding thereto to the control terminal 70.

The processor 10 may determine a largest value among input valuesreceived for a predetermined period, for example, 1 second, as arepresentative value. The processor may count an input value exceeding athreshold value for a predetermined period of time, for example, 1second. The processor 10 may determine a degree of risk in the externalenvironment based on the number of times the representative value orthreshold value is exceeded.

The sensor system 1 according to the present disclosure may be a firedetection system. The above-described sensor 50 senses temperature,humidity, infrared rays, carbon dioxide concentration, etc. to detectfire so that the processor 10 can determine a risk of fire. The risk offire determined by the processor 10 may be transmitted to the controlterminal 70 and delivered to the user.

The technical features disclosed in each embodiment of the presentdisclosure are not limited to a corresponding embodiment, and unlessincompatible with each other, the technical features disclosed in eachembodiment may be applied in combination to other embodiments.<

In the above, the embodiments of the method for setting the thresholdvalue of the sensor according to the present disclosure have beendescribed. The present disclosure is not limited to the above-describedembodiments and the accompanying drawings, and various modifications andchanges may be made in view of a person skilled in the art to which thepresent disclosure pertains. Therefore, the scope of the presentdisclosure should be determined by the scope of the appended claims, andequivalents thereof.

-   -   1: sensor system    -   10: processor    -   20: memory    -   30: communication part    -   40: port    -   50: sensor    -   60: base part    -   70: control terminal

1. A method for setting a threshold value of a sensor in a sensor systemhaving at least one processor and at least one port for transmitting asignal to the at least one processor, the method comprising: an initialreception step in which the at least one processor receives an inputvalue of a sensor, connected to the at least one port, through the atleast one port during a first period of time; an identification step inwhich the at least one processor identifies a type of the sensor basedon to which section the input value received in the initial receptionstep corresponds among a plurality of predetermined sections; a firstclassification threshold setting step in which, in response to thesensor being identified as a first classification in the identificationstep, the at least one processor sets a predetermined threshold valueaccording to the type of the sensor as a threshold value of the at leastone port; and a second classification threshold value setting step inwhich, in response to the sensor being identified as a secondclassification in the identification step, the at least one processorreceives an input value of the sensor, connected to the at least oneport, through the at least one port during a second period of time tocalculate an average input value during the second period of time, andsets a threshold value of the at least one port based on the averageinput value.
 2. The method of claim 1, wherein the initial receptionstep further comprises removing noise from the input value of thesensor.
 3. The method of claim 1, wherein the second period of time islonger than the first period of time.
 4. The method of claim 1, whereinthe first classification is a classification for sensing temperature orhumidity, and wherein the second classification is a classification forsensing infrared rays or carbon dioxide concentration.
 5. The method ofclaim 4, wherein the sensor system is a fire detection system.
 6. Themethod of claim 1, wherein the sensor system further comprises a memory,wherein the memory stores the threshold value according to a type of thesensor of the first classification, and wherein the first classificationthreshold value comprises loading the threshold from the memory by theat least one processor.
 7. The method of claim 1, wherein the sensorsystem further comprises a memory, wherein the memory stores themultiple value according to a type of the sensor of the secondclassification, and wherein the second classification threshold settingstep comprises loading the multiple value from the memory by the atleast one processor.
 8. The method of claim 1, wherein the firstclassification threshold value setting step further comprises setting arange of input values for each type of the sensor and identifying a typeof the sensor according to an input value received during the firstperiod of time.
 9. The method of claim 1, wherein the secondclassification threshold value setting step further comprises setting arange of input values for each type of the sensor and identifying thetype of the sensor according to an input value received during the firstperiod of time.
 10. The method of claim 1, wherein in the secondclassification threshold setting step, the at least one processor sets,as the threshold value of the at least one port, a product obtained bymultiplying the average input value by a predetermined multiple valueaccording to the type of the sensor.
 11. A sensor system comprising: amemory; at least one processor configured to execute instructions storedin the memory; and at least one port configured to transmit a signal tothe at least one processor, wherein the processor is further configuredto: receive an input value of a sensor, connected to the at least oneport, through the at least one port during a first period of time, andidentify a classification for the sensor based on to which section theinput value received in the initial reception step corresponds fromamong a plurality of predetermined sections, wherein in response to thesensor being identified as a first classification in the identificationstep, the at least one processor sets a predetermined threshold valueaccording to the type of the sensor as a threshold value of the at leastone port, and wherein in response to the sensor being identified as thesecond classification in the identifying step, the at least oneprocessor receives an input value of a sensor, connected to the at leastone port, through the at least one port during a second period of time,and calculates an average input value during the second period of time.